Marketing Executive

Job Description: Senior ASP.NET Developer (Blazor & Angular)

Position: Senior ASP.NET Developer / Tech Lead

Experience: 4–6 Years

Location: Onsite/Remote/Hybrid

Employment Type: Full-time

About the Role

We are looking for a highly skilled ASP.NET Developer with expertise in Blazor and Angular who can independently handle projects, lead teams, and confidently communicate with US-based clients. The ideal candidate should possess a strong mix of technical and non-technical skills, including project management and team leadership.

Key Responsibilities

•  Design, develop, and maintain applications using ASP.NET Core, Blazor, Angular, and C#.
•  Handle end-to-end project development individually when required.
•  Collaborate directly with US-based clients, gather requirements, and ensure timely delivery.
•  Manage and mentor a team of developers, ensuring code quality and adherence to best practices.
•  Take ownership of project management activities including planning, task allocation, progress tracking, and risk management.
•  Ensure applications are scalable, secure, and high-performing.
•  Conduct code reviews, testing, and deployment.
•  Prepare project documentation and status reports for stakeholders.
•  Actively suggest improvements in process, technology, and team collaboration.

Required Technical Skills

•  Strong experience (4–6 years) in ASP.NET Core, Blazor, Angular, C#, and .NET Framework.
•  Proficiency in SQL Server, Entity Framework, LINQ.
•  Knowledge of RESTful APIs, Web Services, JSON, XML.
•  Strong front-end skills with HTML, CSS, JavaScript, TypeScript.
•  Familiarity with Git / Azure DevOps / TFS for version control.
•  Experience in deploying applications on Azure / AWS (preferred).

Non-Technical / Soft Skills

• Excellent communication skills to interact with international (US) clients.
• Confident personality with the ability to present ideas clearly.
• Proven project management and leadership skills.
• Ability to work independently and handle multiple projects.
• Strong team management and mentoring abilities.
• Good problem-solving and analytical thinking.

Nice to Have

•  Exposure to Agile / Scrum methodologies.
•  Experience in client onboarding and business requirement analysis.
•  Knowledge of other modern front-end frameworks is a plus.

You can directly contact us on nine three one six one two zero one three two

We're Giant Leap Systems — an AI-first services startup in Pune building agentic systems and AI-powered products for clients.

AI QA Engineer — Pune | ₹4–6 LPA | 0–2 yrs

What you'll do:

• Test and sign off on client-facing fullstack web applications

• Write test plans, track bugs end-to-end, own release quality

• Test REST APIs and system integrations

• As our AI systems ship: validate LLM outputs and agent workflows

What we need:

• Basic web testing experience (internship or projects fine)

• Structured bug reports and test case writing

• Postman or DevTools familiarity

• Genuine curiosity about AI — no prior LLM testing needed

Bonus: Playwright / Selenium / Cypress, REST API testing, any LLM/AI experimentation

Why join: Own QA from day one, direct founder access, be early in a team building AI-first products, real growth path into AI quality engineering.

🔧 𝗞𝗲𝘆 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀:

1️⃣ Network Design & Implementation

• Build and implement scalable network architectures

• Collaborate with cross-functional teams

• Minimum 3+ years hands-on experience

2️⃣ 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁

• Deploy & manage Firewalls, IDS/IPS, VPN, SD-WAN, NAC, Endpoint Security

• Implement strong security policies

3️⃣ 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻

• Monitor, troubleshoot & enhance overall network performance

4️⃣ 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁

• Lead end-to-end implementation and provide technical guidance

5️⃣ 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻

• Maintain detailed configuration & process documentation

6️⃣ 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻 & 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻

• Work with internal teams, vendors & stakeholders

7️⃣ 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗟𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽

• Mentor junior engineers & stay updated on new technologies

📚 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀:

• 𝗕.𝗧𝗲𝗰𝗵 – 𝗠𝗮𝗻𝗱𝗮𝘁𝗼𝗿𝘆

• Strong experience in network & security implementation

• Hands-on with Firewalls, IDS/IPS, VPN, SD-WAN, NAC

• Excellent troubleshooting & communication skills

• Solid understanding of routing, switching & protocols

⭐ 𝗣𝗿𝗲𝗳𝗲𝗿𝗿𝗲𝗱 𝗤𝘂𝗮𝗹𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀:

• 𝗖𝗖𝗡𝗔 & 𝗖𝗖𝗡𝗣 – 𝗠𝗮𝗻𝗱𝗮𝘁𝗼𝗿𝘆

• Experience in cloud security & virtualization

lead and optimize paid media campaigns across online marketplaces including Amazon, Flipkart, and Myntra. You will be responsible for building and scaling performance marketing strategies across Meta, Google, and marketplace ad platforms to drive traffic, conversions, and revenue growth.

Key Responsibilities:

1. Marketplace Advertising:

- Manage and optimize performance marketing campaigns on Amazon (AMS), Flipkart Ads, and Myntra Ads.

- Work with marketplace teams and internal category managers to allocate budgets based on SKU performance, seasonal demand, and brand objectives.

- Leverage keyword strategies, sponsored ads, and DSPs to grow product visibility and improve organic rankings.

- Monitor daily performance and adjust bids, keywords, and targeting to meet campaign KPIs.

- Collaborate with design and content teams to develop high-performing ad creatives and landing pages.

- Own A/B testing strategy across channels (copy, creative, audience, placements).

2. Budgeting & Reporting:

- Develop and manage monthly media plans and performance forecasts.

- Maintain strict control over campaign budgets and ensure efficient allocation across channels.

- Provide weekly/monthly reporting on KPIs like ROAS, CPA, CTR, CVR, etc. with actionable insights.

- Identify growth opportunities through data-driven insights and industry benchmarking.

Key Requirements:

- 4–6 years of hands-on experience in performance marketing for e-commerce marketplaces.

- In-depth knowledge of Amazon Advertising Console, Flipkart Ads Manager, and Myntra Ads/MPP.

- Strong analytical and data interpretation skills with proficiency in Excel, and dashboard tools like Looker Studio / Power BI.

- Understanding of marketing attribution, customer journey mapping, and conversion rate optimization.

- Experience working with fashion, apparel, or lifestyle categories is highly preferred.

- Ability to collaborate cross-functionally and manage agency or in-house creative resources.

Preferred Qualifications:

- Bachelor’s degree in Marketing, Business, or related field.

- Masters in Business Administration

- 4-6 years marketing experience

Data Scientists are analytical experts who use their skills in mathematics, statistics, and computer science to solve complex business problems. They collect, analyze, and interpret large datasets to extract meaningful insights and develop data-driven solutions. Their work helps organizations make informed decisions, improve processes, and gain a competitive edge.

Key Responsibilities:

• Data Collection and Preprocessing:
• Gathering data from various sources (databases, APIs, web scraping, etc.).
• Cleaning and transforming data to ensure quality and consistency.
• Handling missing values, outliers, and inconsistencies.
• Integrating data from multiple sources.
• Data Analysis and Exploration:
• Conducting exploratory data analysis (EDA) to identify patterns, trends, and relationships.
• Applying statistical methods and hypothesis testing to validate findings.
• Visualizing data using charts, graphs, and other tools to communicate insights.
• Model Development and Deployment:
• Developing and implementing machine learning models (e.g., regression, classification, clustering, deep learning).
• Evaluating model performance and fine-tuning parameters.
• Deploying models into production environments.
• Creating and maintaining machine learning pipelines.
• Communication and Collaboration:
• Presenting findings and recommendations to stakeholders in a clear and concise manner.
• Collaborating with cross-functional teams (e.g., engineers, product managers, business analysts).
• Documenting code, models, and processes.
• Translating business requirements into technical implementations.